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Product Aggregation Bias as a Specification Error in Demand Systems

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  • George C. Davis

Abstract

Inherent in all demand studies is some form of product aggregation which can lead to product aggregation bias. This article develops a simple procedure for incorporating product aggregation bias in demand systems that permits testing of product aggregation bias with a standard likelihood ratio test. An empirical illustration of the procedure demonstrates the importance of proper product aggregation. Copyright 1997, Oxford University Press.

Suggested Citation

  • George C. Davis, 1997. "Product Aggregation Bias as a Specification Error in Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 100-109.
  • Handle: RePEc:oup:ajagec:v:79:y:1997:i:1:p:100-109
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    File URL: http://hdl.handle.net/10.2307/1243946
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    Cited by:

    1. Muhammad, Andrew & Ngeleza, Guyslain K., 2009. "European Union preferential trade agreements with developing countries and their impact on Colombian and Kenyan carnation exports to the United Kingdom:," IFPRI discussion papers 862, International Food Policy Research Institute (IFPRI).
    2. Shumway, C. Richard & Davis, George C., 2001. "Does consistent aggregation really matter?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(2), June.
    3. Stewart, Hayden & Blisard, Noel, 2006. "Household versus Community Effects: Who Really Pays More for Food?," 2006 Annual meeting, July 23-26, Long Beach, CA 21053, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Washington, Andrew A. & Kilmer, Richard L., 2002. "The Derived Demand For Imported Cheese In Hong Kong," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association (IFAMA), vol. 5(01).
    5. Richards, Timothy J. & Patterson, Paul M., 1998. "Dynamic Complementarity In Export Promotion: The Market Access Program In Fruits And Vegetables," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 23(02), December.
    6. Garrett, Thomas A., 2003. "Aggregated versus disaggregated data in regression analysis: implications for inference," Economics Letters, Elsevier, vol. 81(1), pages 61-65, October.
    7. Suh, Dong Hee & Moss, Charles B., 2014. "Exploring Agricultural Production Systems: Interactions between the Crop and Livestock Sectors," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170149, Agricultural and Applied Economics Association.
    8. Jun, Iksu, 2011. "Aggregation Bias Found In Korean Demand For Imported Beef," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 34(2), June.
    9. Panos Fousekis & Christos Pantzios, 1999. "A Family of Differential Input Demand Systems with Application to Greek Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(3), pages 549-563.
    10. Thomas A. Garrett, 2002. "Aggregated vs. disaggregated data in regression analysis: implications for inference," Working Papers 2002-024, Federal Reserve Bank of St. Louis.
    11. Muhammad, Andrew & McPhail, Lihong Lu & Kiawu, James, 2012. "Do U.S. Cotton Subsidies Affect Competing Exporters? An Analysis of Import Demand in China," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 44(02), May.
    12. Hayden Stewart & Noel Blisard, 2008. "Who Pays More for Food?," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 150-168, February.
    13. George C. Davis, 1999. "The science and art of promotion evaluation," Agribusiness, John Wiley & Sons, Ltd., vol. 15(4), pages 465-483.
    14. Mutondo, Joao E. & Henneberry, Shida Rastegari, 2007. "A Source-Differentiated Analysis of U.S. Meat Demand," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 32(03), December.

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